## An Introduction to Artificial Intelligence: Can Computers Think? |

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Page 36

A source of references is R.

Programming, Princeton University Press, Princeton, N.J., 1961. Section 4. We

have used the concept of imbedding in many contexts. In mathematical physics it

can be ...

A source of references is R.

**Bellman**and S. Drey fus, Adaptive DynamicProgramming, Princeton University Press, Princeton, N.J., 1961. Section 4. We

have used the concept of imbedding in many contexts. In mathematical physics it

can be ...

Page 37

Richard

that of the calculus of variations. The calculus of variations regards a curve as a

locus of points. Dynamic programming regards a curve as an envelope of

tangents ...

Richard

**Bellman**. The approach of dynamic programming is a dual approach tothat of the calculus of variations. The calculus of variations regards a curve as a

locus of points. Dynamic programming regards a curve as an envelope of

tangents ...

Page 92

Richard

some aspects of learning. What we And is that it is very difficult to make this

useful term precise. Any precise problems are quite difficult mathematically. We

have ...

Richard

**Bellman**. 24. DISCUSSION In the foregoing pages we have discussedsome aspects of learning. What we And is that it is very difficult to make this

useful term precise. Any precise problems are quite difficult mathematically. We

have ...

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### Contents

can computers think? | 3 |

Process Cannibals and Missionaries Formulation as a Multistage | 5 |

decision making | 21 |

Copyright | |

10 other sections not shown

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### Common terms and phrases

algorithm analog computer answer applications approach approximate policies arithmetic artificial intelligence average axioms Bellman BIBLIOGRAPHY AND COMMENTS C. P. Smith calculation chapter chess classical COMMENTS Section complex concept consider Control Processes criterion function deal described determine device difficulty digital computer discuss dynamic programming effect equation example experience fast storage feasible fifteen puzzle foregoing functional equation fuzzy human humor hybrid computer idea important instinct interaction interesting involved large number learning levels logic machine mathe mathematical analysis mathematical problems mathematical theory mathematician matical means methods multistage decision process observe operations optimal policy paradox particular path patient pattern recognition play player possible precise Princeton probability distribution probability theory puter puzzles question reasonable retrieve round-off error simple simulation situations solve stochastic stochastic approximation structure talk techniques tion transformation uncertainty variables words York

### References to this book

The Bellman Continuum: A Collection of the Works of Richard E. Bellman Richard Ernest Bellman,Robert S. Roth No preview available - 1986 |